Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
On Solving the Multiple Variable Gapped Longest Common Subsequence Problem
arXiv:2604.18645v1 Announce Type: new Abstract: This paper addresses the Variable Gapped Longest Common Subsequence (VGLCS) problem, a generalization of the…
Sessa: Selective State Space Attention
arXiv:2604.18580v2 Announce Type: replace-cross Abstract: Modern sequence modeling is dominated by two families: Transformers, whose self-attention can access arbitrary elements…
Taming Actor-Observer Asymmetry in Agents via Dialectical Alignment
arXiv:2604.19548v1 Announce Type: cross Abstract: Large Language Model agents have rapidly evolved from static text generators into dynamic systems capable…
Mesh Memory Protocol: Semantic Infrastructure for Multi-Agent LLM Systems
arXiv:2604.19540v1 Announce Type: cross Abstract: Teams of LLM agents increasingly collaborate on tasks spanning days or weeks: multi-day data-generation sprints…
AlphaContext: An Evolutionary Tree-based Psychometric Context Generator for Creativity Assessment
arXiv:2604.18398v2 Announce Type: replace-cross Abstract: Creativity has become a core competence in the era of LLMs and human-AI collaboration, underpinning…
Mechanisms of Prompt-Induced Hallucination in Vision-Language Models
arXiv:2601.05201v2 Announce Type: replace-cross Abstract: Large vision-language models (VLMs) are highly capable, yet often hallucinate by favoring textual prompts over…
Theory of Mind in Action: The Instruction Inference Task in Dynamic Human-Agent Collaboration
arXiv:2507.02935v3 Announce Type: replace-cross Abstract: Successful human-agent teaming relies on an agent being able to understand instructions given by a…
AIFIND: Artifact-Aware Interpreting Fine-Grained Alignment for Incremental Face Forgery Detection
arXiv:2604.16207v1 Announce Type: cross Abstract: As forgery types continue to emerge consistently, Incremental Face Forgery Detection (IFFD) has become a…
SOAR: Self-Correction for Optimal Alignment and Refinement in Diffusion Models
arXiv:2604.12617v2 Announce Type: replace-cross Abstract: The post-training pipeline for diffusion models currently has two stages: supervised fine-tuning (SFT) on curated…
Persona-Assigned Large Language Models Exhibit Human-Like Motivated Reasoning
arXiv:2506.20020v2 Announce Type: replace Abstract: Reasoning in humans is prone to biases due to underlying motivations like identity protection, that…